System and method for plant control based on fluid quality

ABSTRACT

A distributed control system receives analysis data. The analysis data includes quality attributes of fluid samples and an indication of a plant location corresponding to the fluid samples. The system identifies one or more anomalies of fluid based upon the quality attributes of the plurality of fluid samples and attributes the one or more anomalies to one or more particular areas. The system triggers an alert, trigger control, or both, based at least in part upon the identified one or more anomalies and the attributed one or more particular areas.

BACKGROUND OF THE INVENTION

The subject matter disclosed herein relates to power plants,particularly systems and methods for improving reporting and control ofthe power plant based on fluid quality of the power plant.

BRIEF DESCRIPTION OF THE INVENTION

Certain embodiments commensurate in scope with the originally claimedinvention are summarized below. These embodiments are not intended tolimit the scope of the claimed invention, but rather these embodimentsare intended only to provide a brief summary of possible forms of theinvention. Indeed, the invention may encompass a variety of forms thatmay be similar to or different from the embodiments set forth below.

In a first embodiment, a distributed control system receives analysisdata. The analysis data includes quality attributes of fluid samplesfrom a power plant and an indication of a plant location correspondingto the fluid samples. The system identifies one or more anomalies offluid in the power plant based upon the quality attributes of theplurality of fluid samples and attributes the one or more anomalies toone or more particular areas of the power plant. The system triggers apower plant alert, trigger control of the power plant, or both, based atleast in part upon the identified one or more anomalies and theattributed one or more particular areas of the power plant.

In a second embodiment, a tangible, non-transitory, machine-readablemedium includes machine-readable instructions, to: receive, from anautomated analyzer device, analysis data. The analysis data includes: anindication of quality attributes of a plurality of fluid samples from apower plant, and an indication of a plant location corresponding to thequality attributes of the plurality of the fluid samples. Theinstructions identify one or more anomalies of fluid in the power plantbased upon the indication of quality attributes of the plurality offluid samples, attribute the one or more anomalies to one or moreparticular areas of the power plant based at least in part upon theindication of the plant location corresponding to the quality attributesof the plurality of the fluid samples, and trigger a power plant alert,trigger control of the power plant, or both, based at least in part uponthe identified anomalies and the attributed one or more particular areasof the power plant.

In a third embodiment, a method includes: receiving, from an automatedanalyzer device. The analysis data includes an indication of qualityattributes of a plurality of fluid samples from a power plant and anindication of a plant location corresponding to the quality attributesof the plurality of the fluid samples. The method includes: identifyingone or more anomalies of fluid in the power plant based upon theindication of quality attributes of the plurality of fluid samples;attributing the one or more anomalies to one or more particular areas ofthe power plant based at least in part upon the indication of the plantlocation corresponding to the quality attributes of the plurality of thefluid samples; and triggering a power plant alert, trigger control ofthe power plant, or both, based at least in part upon the identifiedanomalies and the attributed one or more particular areas of the powerplant.

BRIEF DESCRIPTION OF THE DRAWINGS

These and other features, aspects, and advantages of the presentinvention will become better understood when the following detaileddescription is read with reference to the accompanying drawings in whichlike characters represent like parts throughout the drawings, wherein:

FIG. 1 is a block diagram of an embodiment of a fuel-fed power plantwith fuel analysis circuitry, in accordance with an embodiment;

FIG. 2 is a line chart, illustrating a relationship between contaminantconcentration of fuel and lifetime of fuel-fed components of the powerplant;

FIG. 3 is a flowchart illustrating a process for observing and analyzingpower plant fuel used in the power plant of FIG. 1, in accordance withan embodiment;

FIG. 4 is a block diagram illustrating a device for analyzing fuel, inaccordance with an embodiment;

FIG. 5 is a flowchart, illustrating a process for electronicnotification and control of a power plant based upon analyzed fuelquality, in accordance with an embodiment;

FIG. 6 is a flowchart illustrating a process for controlling fuelloading based upon fuel quality, in accordance with an embodiment; and

FIG. 7 is a flowchart illustrating a process for controlling the powerplant based upon fuel quality, in accordance with an embodiment.

DETAILED DESCRIPTION OF THE INVENTION

One or more specific embodiments of the present invention will bedescribed below. In an effort to provide a concise description of theseembodiments, all features of an actual implementation may not bedescribed in the specification. It should be appreciated that in thedevelopment of any such actual implementation, as in any engineering ordesign project, numerous implementation-specific decisions must be madeto achieve the developers' specific goals, such as compliance withsystem-related and business-related constraints, which may vary from oneimplementation to another. Moreover, it should be appreciated that sucha development effort might be complex and time consuming, but wouldnevertheless be a routine undertaking of design, fabrication, andmanufacture for those of ordinary skill having the benefit of thisdisclosure.

When introducing elements of various embodiments of the presentinvention, the articles “a,” “an,” “the,” and “said” are intended tomean that there are one or more of the elements. The terms “comprising,”“including,” and “having” are intended to be inclusive and mean thatthere may be additional elements other than the listed elements.

The embodiments disclosed herein relate to a system and method forimproving efficiency of a power plant, by reporting on and/or adjustingthe operation of equipment (e.g., a condenser, turbine, etc.) in thepower plant based in part on a near-real-time analysis of fuel, water,and/or oil characteristics of the power plant.

Power plant systems have developed across the globe. Equipment of thesepower plant systems may rely on fuel, water, oil and other fluids tofacilitate the plant operations. As may be appreciated, certain qualitystandards of these fluids may be relied upon for proper functioning ofthe equipment. For example, certain fuel particulate levels, contaminantlevels, etc. specifications may be provided by an equipment vendor,detailing particular thresholds for the fluids that will help ensureproper functioning of the equipment.

Unfortunately, given the vast number of fuel sources, fuel deliverysystems, plant maintenance, global standards, etc., the quality of thesefluids may vary significantly from time to time. For example, liquidfuel in certain areas may include high particulate, may include waterand/or sediments, contaminants, and/or jelly deposits, which may degradethe quality of fuel for the power plant.

Typically, plant operations have assumed that incoming fuel meets thethreshold specifications provided by a vendor. The plants may includemonitoring that determines whether the equipment is functioningproperly. However, this may only determine a problem in a reactionarymanner, as the problems arise, due to fuel or other fluids not meetingthese specifications. This may result in the Balance of Plant (BOP)system becoming fowled (e.g., contaminated), which can ultimately leadto subsequent engine damage, if proper reactive measures are not taken.

Such reactive measures can be quite costly. For example, when a pressuredrop is found, indicating that a filter is clogged, there may besignificant troubleshooting needed to determine an actual cause of theclogging. Further, it may be costly, both with time and money to remedythe issue, as the piping, etc. may need flushing.

The embodiments provided herein provide systems and methods forproactively alerting and/or acting upon an analysis of plant fluids(e.g., fuel, water, oil, etc.). For example, data logs, digital twinapplications (e.g., digital 3D modeling of the power plant), plantmaintenance scheduling, etc. may be updated based upon plant fluidanalysis.

As discussed below, the power plant may include equipment, such as acompressor, a combustor, a gas turbine engine, a steam cycle, etc. Thesensors may include flow rate sensors, acoustical wave sensors,temperature sensors, pressure sensors, humidity sensors, compositionsensors, or any combination thereof. The controller may also receivedata output by other sensors that are configured to measure operatingconditions of other fluids of the power plant system, such as thecompressor, the gas turbine, or other components. As discussed in moredetail below, in some embodiments, fuel samples, water samples, lube oilsamples, etc. may be obtained from particular areas in the power plant.These samples may be analyzed to provide pro-active reporting and/orcontrol. For example, these samples may be analyzed to measureparticular characteristics of the fluids, such as color, particulates(e.g., size and distribution) and contaminant identification (e.g., anidentified particular type of contaminant, such as from the followinglist of contaminates, for example, Na, K, Li, V, Mg, Pb, Ni, Ca Mn, Cr,Si, Fe, Al, Cu, Zn).

For example, the controller may use the data output by the sensor toadjust the power usage of the condenser, as the load of the power plantchanges. In some embodiments, fuel may be re-directed for additionaltreatment, diversion, etc. Further, operation of one or more of thecomponents of the power plant may be altered based upon the outputtedsensor data. For example, component operation may be reduced whenincreased contaminants are present in fuel. For example, the speed offans within each condenser may be adjusted, the pitch of the fan bladesmay be adjusted, etc.

Turning now to the drawings, FIG. 1 is a block diagram of an embodimentof a power plant 10 having a gas turbine engine 12. The gas turbineengine 12 may be powered by fuel that is supplied by a fuel deliverysystem, such as the fuel truck 14. A dirty tank 16 may receive the fuel,via pipeline(s) 18. Further, the plant 10 may provide initial fueltreatment by supplying the fuel from pipeline(s) 20 to a centrifuge 22,where particulates and may be separated from the fuel. The treated fuelmay be provided to a clean tank 24, via pipeline(s) 26 for storage untilneeded for use by the gas turbine engine 12. The fuel may be provided tothe gas turbine engine 12 (e.g., after further downstream processing byfilter 28 and/or other components 30), via pipeline(s) 32.

As will be discussed in more detail below, fluids of the plant (e.g.,the fuel, water, and lube oil) may be analyzed, at certain points of thepower plant 10 operations, to determine certain characteristics (e.g.,identify particular contaminates, particulate concentrations, etc.) ofthe fluids at these certain points. For example, in the embodiment ofFIG. 1, an automated analyzer box 34 may receive component samples viaone or more ports of the power plant 10. For example, when the plant 10is equipped with supplementary filtering and/or conditioning equipmentthat can be engaged to correct fluid quality, additional sampling pointsmay be provided to assess an effectiveness of these systems to helppredict how long the plant 10 can operate before hardware distress mayoccur.

In one embodiment, Port1 36 may provide fuel samples from thepipeline(s) 18. Port1 36 may provide samples 38 of the initial fuelquality straight from the fuel supply source (e.g., the truck 14), priorto downstream processing and/or storage at the power plant 10.Accordingly, the automated analyzer box 34 may understand an initialfuel quality that is supplied to the power plant 10.

Additionally, Port2 40 may be provided at the pipeline(s) 20, supplyingfuel from the dirty tank 16. Accordingly, these samples 42 may representthe state of the fuel after storage in the dirty tank 16. This may beuseful in attributing fuel contamination to the dirty tank 16.

Port3 44 may be positioned after the centrifuge 22. The fuel sample 46may provide an indication of the fuel quality after processing by thecentrifuge 22, which may be useful to determine the effectiveness of theprocessing by the centrifuge 22.

Port4 48 may be placed after the clean tank 24. The fuel sample 50 mayprovide an indication of the fuel quality after storage in the cleantank 24. These fuel samples 50 may be useful to attribute contaminationto the clean tank 24.

Port5 52 may be placed in the pipeline(s) 32 after additional equipment30. The fuel samples 54 may be used to determine the fuel quality afterthe additional equipment 30 and/or before the filter 28.

As mentioned above, additional fluids may be analyzed. For example, thepower plant may use water, which may be stored in the water tank 56. Thepipeline(s) 58 may supply the water. Port0 60 of the gas turbine engine12 may provide water samples 62 to the automated analyzer box 34.Further, lube oil samples may be provided to the automated analyzer box34. For example, Port6 64 may provide samples 66 and additionalequipment 68 that uses the lube oil may provide additional lube oilsamples 70 to the automated analyzer box 34.

The automated analyzer box 34 and or additional sensors (e.g., the fuelquality sensor 72) may provide an indication of the quality of thefluids. When the quality is below a particular threshold branchingpipeline(s), such as fuel treatment branching pipeline(s) 74 and/or lubeoil treatment branching pipeline(s) 76 may divert the fluids foradditional treatment. For example, when the fuel quality is below athreshold value, the valve 76 may be actuated to divert the fuel to thefuel treatment branching pipeline(s) 74 instead of storing theinadequate fuel in the clean tank 24.

The fuel treatment branching pipeline(s) 74 may divert the fuel to thefuel treatment plant 78 or send the fuel back to the dirty tank 16 foradditional treatment by the centrifuge 22. The fuel quality sensor 72and/or the automated analyzer box 34 may determine characteristics ofthe fuel and determine which option (e.g., fuel treatment plant 78 oradditional centrifuge 22 processing). For example, small amounts ofcontamination may warrant additional centrifuge 22 treatment, whilehigher levels of contamination may warrant treatment at the fueltreatment plant 78. Accordingly, the valve 80 may be actuatedaccordingly, based upon the fuel quality analysis prior to the cleantank 24 (e.g., via samples 46).

Additionally, the automated analyzer box 34 may determine when the lubeoil is below a threshold quality level. When below a threshold qualitylevel, the lube oil may be diverted to a lube oil treatment plant 82and/or alternative lube oil treatment equipment.

As will be discussed in more detail below, the automated analyzer box 34may determine the containments and/or other characteristics of fluids ofthe power plant 10. The automated analyzer box 34 may be connected to asignal-conditioning device 84 via a communications bus 86. Thesignal-conditioning device 84 may receive data indicative of thecomponent quality and/or other characteristics via the communicationsbus 86. The signal-conditioning device 84 may convert this data intosignals interpretable by a control system (e.g., distributed controlsystem 88). Based upon the signals provided by the signal-conditioningdevice 84, the control system may provide alerts and/or control ofequipment in the power plant 10.

FIG. 2 is a line chart 150, illustrating a relationship betweencontaminant concentration of fuel and lifetime of fuel-fed components ofthe power plant 10. The X-Axis provides an indication of a contaminantexcess concentration in parts per million (ppm). The Y-Axis provides anindication of a life expectancy of the hot section (e.g., the combustor,turbine, afterburner, exhaust, etc.) of the gas turbine engine 12. Theline 152 illustrates the effect of contaminant “A” and the line 154illustrates the effect of contaminant “B”. As illustrated by lines 152and 154, as the contaminants increase, the life of the hot sectionequipment decreases. For example, at a 0 contaminant excess, the life ofthe hot section equipment is much higher than at a higher ppm content.Accordingly, as may be appreciated, the current techniques that analyzefluids throughout the power plant 10 may be useful in proactivelynotifying an operator and/or controlling operations in the plant 10,based upon contaminant levels.

FIG. 3 is a flowchart illustrating a process 200 for observing andanalyzing power plant fuel used in the power plant of FIG. 1, inaccordance with an embodiment. The process 200 begins by obtaining fuelsamples (and/or other component samples) from Sampling locations in theplant 10 (block 202). For example, as mentioned above with regards toFIG. 1, samples may be provided to the automated analyzer box 34 fromthe ports (e.g., Port0 60, Port1 36, Port2 40, Port3 44, Port4 48, Port552, Port6 64, Port7 68).

Next, the samples may be verified (block 204). For example, opticaltechniques may be calibrated to measure liquid fuel opacity and/or colorand/or may detect water content and/or particular loading. The systemmay further include automatic online particle sampling and binningdevices.

The component samples may then be analyzed for trace elements (block206). The samples are drawn from a pipe system designed to provide acontinuous flow of fresh fluid at the analyzer location. As will bediscussed in more detail below, the analyzer box 34, in one embodiment,is a robot (e.g., using rotating disk electrode atomic emissionspectrometry) that receives the samples, executes analysis and providesa digitized signal encoding of the results of the analyses.

After analysis, present fuel quality indications at the various samplinglocations in the plant 10 may be supplied for downstream altering and/orcontrol (block 208). For example, a signal-conditioning device 84 maymonitor for digital signals from the analyzer box 34. Thesignal-conditioning device 84 may sequence and condition the signalsreceived from analyzer box 34 to provide control system discernable datato the distributed control system 88.

The process 200 may be implemented on a periodic basis. For example, theprocess 200 may be completed in near-real time, resulting in near-realtime alerts and/or control. For example, in certain embodiments, theprocess 200 may be completed approximately every 5 minutes during powerplant 10 operation.

Turning now to a discussion of the automated analyzer box, FIG. 4 is ablock diagram illustrating an embodiment of an automated analyzer device34 for analyzing fuel, in accordance with an embodiment. As mentionedabove with regard to FIG. 1, samples 250 may be prepared. The samples250 may be positioned on a conveyor system 252. In some embodiments,some samples may be empty or contain a neutral liquid or a calibrationstandard to facilitate operation of the analyzer.

A robotic arm 254 may transfer the samples 250 (e.g., one at a time) tothe analyzer 256. As mentioned above, the analyzer 256 may use rotatingdisk electrode technology to identify contaminate and/or particulateconcentration levels. The analysis results may be provided from theanalyzer 256 to a downstream component, such as a distributed controlsystem 88.

FIG. 5 is a flowchart, illustrating a process 300 for electronicnotification and/or control of a power plant 10 based upon analyzedfuel, water, and/or lube oil quality, in accordance with an embodiment.As discussed with regard to FIG. 1, the distributed control system 88may provide status updates 302 to a programmable logic controller (PLC)304. The status updates 302 include an analysis of fluid samples takenfrom certain points in the power plant 10.

The PLC 304 may receive these status updates 302, along with other plant10 information, such as equipment specifications 306, maintenance logs308, supply schedules 310, dispatch plan 312, instrumentation 314,mission profile 316, available supply 318, consumption rates 320, etc.Based upon this received data, the PLC 304 may detect anomalies (e.g.,non-conformity of the liquids as opposed to the plant requirementsdefined in the specifications 306) (block 322).

After detecting an anomaly, the PLC 304 may determine an amount of timeremaining for safe operation, in light of the anomaly, and start a timercounting down an amount of time before operation of the plant 10 is tobe altered (block 324). For example, relatively highly contaminated fuelmay reduce a safe operation time for a gas turbine engine 12.Accordingly, the PLC 304 may determine a relatively low safe operationtime. Additionally, the PLC 304 may trigger notifications (e.g., alarms,etc.) based upon the severity of the detected anomaly.

The PLC 304 (or other circuitry) may develop solutions for the anomalybased upon the available fuel supply 318, and the determined anomaly(block 326). For example, a Balance of Plant (BOP) capability and riskanalysis (e.g., based upon the maintenance logs 308, instrumentation314, specifications 306, mission profile 316, etc.) may be used todetermine if the anomaly (e.g., the particular level of insufficientfuel quality) may be accepted and in what amount, such that plant 10operations may continue. Supply vs. Demand, market conditions, andrisk-based analyses can be implemented to maximize profit and/orminimize costs. Decision trees may take into account available redundantor optional filtration and/or conditioning systems to maximize run timeand minimize impact on the equipment.

In some embodiments, a more complex analysis may detect if theidentified anomaly is a direct result of low-quality fuel delivered tothe plant 10 or due to malfunction in a particular portion of the plantBOP. For example, because the sampling locations are tracked with thesamples, samples that indicate low-quality fuel can be attributed toparticular portions of the plant 10. Plant instrumentation 314 andengine mission profile 316 may be integrated into the analysis to derivea comprehensive view of plant 10 health.

The PLC 304 (or other circuitry) may validate the options (block 328) todetermine their viability with the current conditions. For example,detailed records including fuel, water, and lube oil condition alongwith operation history are used to enable Condition Based Maintenance.These records may establish remaining life of the components of thepower plant 10 and risks involved in continued operations with thecontaminated liquids. The potential solutions are ranked based upontheir risk, plant configuration, and generation plans.

The PLC 304 (or other circuitry) may determine whether the controlsystem of the power plant 10 is set to implement solution optionsautomatically (decision block 330). If automatic implementation is notset, the plan may only be implemented after a user is authenticated andan override of current operations is selected by the user (block 332).Otherwise, if automatic implementation is set, the PLC 304 (or othercircuitry) determines if treatment options for the anomaly are available(decision block 334). If there are treatment options, the PLC 304 (orother circuitry) determines whether the treatment options are exhausted(decision block 336). If there are not treatment options or thetreatment options are exhausted, a controlled shutdown is performed bythe end of the timer started in block 324 (block 338). However, whentreatment options exist and have not been exhausted, the best of theavailable options (as determined during the validation option in block328) is activated (block 338). Once these changes are implemented, theprocess 300 restarts, determining if the changes have enhanced the plant10 operations and determining new safe operation times, etc.

As mentioned above, sometimes the initial fuel supply does not meetminimum requirements. FIG. 6 is a flowchart illustrating a process 350for controlling fuel loading based upon an initial fuel quality, inaccordance with an embodiment. First, an indication of fuel quality atthe fuel loading location is received (block 352). For example,returning to FIG. 1, samples from the fuel analysis of Port1 36 mayprovide an indication of poor initial fuel quality. Based upon thisinformation, the fuel loading may be restricted to avoid heavycontamination of the raw tank and downstream equipment. For example,valves may be actuated to cut access to the dirty tank 16. Additionallyand/or alternatively, an alert of the poor fuel load may be provided viaa human machine interface (HMI), enabling a power plant 10 operator tostop the fuel load manually.

FIG. 7 is a flowchart illustrating a process 400 for controlling thepower plant 10 based upon fuel quality, in accordance with anembodiment. First, an indication of the fuel quality after thecentrifuge (e.g., centrifuge 22 of FIG. 1) (block 402). The fuel flow tothe clean tank 24 may be removed and/or additional conditioning of thefuel may be implemented to avoid contamination of the clean tank and/ordownstream filtration devices (block 404). For example, as mentionedabove, regarding FIG. 1, the valve 76 may redirect fuel to valve 80,which may either direct the fuel to the fuel treatment plant 78 and/orback to the dirty tank 16, such that the fuel undergoes centrifuge 22treatment again.

Various instructions, methods, and techniques described herein may beconsidered in the general context of computer-executable instructions,such as program modules, executed by one or more computers or otherdevices. Generally, program modules include routines, programs, objects,components, data structures, etc., for performing particular tasks orimplementing particular abstract data types. These program modules andthe like may be executed as native code or may be downloaded andexecuted, such as in a virtual machine or other just-in-time compilationexecution environment. The functionality of the program modules may becombined or distributed as desired in various embodiments. Animplementation of these modules and techniques may be stored on someform of computer-readable storage media.

Technical effects of the invention include a system and method forimproving efficiency of a power plant, based in part on reporting theconditions of and/or adjusting the operation of equipment in the powerplant based in part on an analyzed quality of the fuel at particularareas of the power plant. A controller uses the data output by fuel,water, and/or, oil analysis sensors to provide alerts and actionsregarding the operation of the power plant. By providing alerts and/oractions based upon fuel, water, and/or oil analysis, pro-active actionsmay be performed, resulting in prolonged life-expectancy of the powerplant equipment, a reduction in power-plant outages, etc.

Technical effects of the current system and methods include enablingcondition-based maintenance by providing advanced analytics to interpretcurrent operational fluid qualities. Further, the current techniquesprovide mitigation plans, taking into account plant configuration andoperation history and/or a risk/reward analysis. Accordingly, despitevariability in quality of supplied liquid fuel and/or inadequate plantmaintenance and/or inadequate operation of plant conditioning systemsthat cause varied fluid qualities, reliable operation and control of theplant 10 may be maintained, resulting in increased operationalefficiencies with decreased downtime.

This written description uses examples to disclose the invention,including the best mode, and also to enable any person skilled in theart to practice the invention, including making and using any devices orsystems and performing any incorporated methods. The patentable scope ofthe invention is defined by the claims, and may include other examplesthat occur to those skilled in the art. Such other examples are intendedto be within the scope of the claims if they have structural elementsthat do not differ from the literal language of the claims, or if theyinclude equivalent structural elements with insubstantial differencesfrom the literal language of the claims.

1. A distributed control system, configured to: receive, from anautomated analyzer device, analysis data comprising: an indication ofquality attributes of a plurality of fluid samples; and an indication ofa plant location corresponding to the quality attributes of theplurality of the fluid samples; identify one or more anomalies of fluidbased upon the indication of quality attributes of the plurality offluid samples; attribute the one or more anomalies to one or moreparticular areas based at least in part upon the indication of the plantlocation corresponding to the quality attributes of the plurality of thefluid samples; and trigger an alert, trigger control, or both, based atleast in part upon the identified one or more anomalies and theattributed one or more particular areas.
 2. The distributed controlsystem of claim 1, wherein the plurality of fluid samples comprisesamples of liquid fuel.
 3. The distributed control system of claim 1,wherein the plurality of fluid samples comprise samples of water.
 4. Thedistributed control system of claim 1, wherein the plurality of fluidsamples comprise samples of lube oil.
 5. The distributed control systemof claim 1, wherein the distributed control system is configured to:identify an available time for safe operation of a power plant basedupon the identified one or more anomalies; and control a shut down ofthe power plant based upon the available time for safe operation.
 6. Thedistributed control system of claim 1, wherein the distributed controlsystem is configured to: identify available treatment options based uponthe identified one or more anomalies; select a particular treatmentoption of the available treatment options; and control a power plant byimplementing the particular treatment option.
 7. The distributed controlsystem of claim 6, wherein: the identified one or more anomaliescomprises inadequate fuel quality; the one or more particular areascomprise an initial loading area of the fuel; and the particulartreatment option comprises blocking subsequent loading of the fuel,based upon the inadequate fuel quality attributing the inadequate fuelquality to the initial loading area.
 8. The distributed control systemof claim 6, wherein: the identified one or more anomalies comprisesinadequate fuel quality; the one or more particular areas comprise adownstream area that is downstream of equipment that stores, processes,or stores and processes the fuel; and the particular treatment optioncomprises redirecting the fuel for additional treatment, based upon theinadequate fuel quality and attributing the inadequate fuel quality tothe downstream area.
 9. The distributed control system of claim 8,wherein the distributed control system is configured to: redirect thefuel for additional treatment comprises actuating one or more valves toredirect the fuel back to a dirty tank such that may be retreated by acentrifuge.
 10. The distributed control system of claim 8, wherein thedistributed control system is configured to: redirect the fuel foradditional treatment comprises actuating one or more valves to redirectthe fuel to a fuel treatment plant for additional treatment.
 11. Thedistributed control system of claim 1, wherein the distributed controlsystem is configured to: identify a life expectancy of equipment basedat least in part upon the identified one or more anomalies; and presentthe life expectancy as an alert.
 12. The distributed control system ofclaim 1, wherein the plurality of fluid samples comprise samples ofwater, lube oil, or both.
 13. A tangible, non-transitory,machine-readable medium comprising machine-readable instructions, to:receive, from an automated analyzer device, analysis data comprising: anindication of quality attributes of a plurality of fluid samples; and anindication of a location corresponding to the quality attributes of theplurality of the fluid samples; identify one or more anomalies of fluidbased upon the indication of quality attributes of the plurality offluid samples; attribute the one or more anomalies to one or moreparticular areas based at least in part upon the indication of the plantlocation corresponding to the quality attributes of the plurality of thefluid samples; and trigger an alert, trigger control, or both, based atleast in part upon the identified anomalies and the attributed one ormore particular areas.
 14. The tangible, non-transitory,machine-readable medium of claim 13, comprising machine-readableinstructions, to: using a digital twin model to identify the one or moreanomalies.
 15. The tangible, non-transitory, machine-readable medium ofclaim 13, comprising machine-readable instructions, to: develop andselect a particular solution for the one or more anomalies, based uponthe analysis data; determine if treatment options are exhausted; if thetreatment options are not exhausted, control a power plant to implementthe treatment options; otherwise, if the treatment options areexhausted, control the power plant to implement a shutdown of at leastone piece of equipment before an end to a time for safe operation of theequipment.
 16. The tangible, non-transitory, machine-readable medium ofclaim 13, comprising machine-readable instructions, to: receive anindication of inadequate fuel quality at a fuel loading location; andrestrict fuel loading to avoid contamination of a fuel tank, downstreamequipment, or both, based upon the indication of inadequate fuel qualityat the fuel loading location.
 17. The tangible, non-transitory,machine-readable medium of claim 13, comprising machine-readableinstructions, to: receive an indication of inadequate fuel qualitydownstream of a centrifuge; and modify a fuel flow to a dirty fuelstorage tank, to an additional conditioning system, or both, based uponthe indication of inadequate fuel quality downstream of the centrifuge.18. A method, comprising: receiving, from an automated analyzer device,analysis data comprising: an indication of quality attributes of aplurality of fluid samples t; and an indication of a plant locationcorresponding to the quality attributes of the plurality of the fluidsamples; identifying one or more anomalies of fluid based upon theindication of quality attributes of the plurality of fluid samples;attributing the one or more anomalies to one or more particular areasbased at least in part upon the indication of the plant locationcorresponding to the quality attributes of the plurality of the fluidsamples; and triggering an alert, trigger control, or both, based atleast in part upon the identified anomalies and the attributed one ormore particular areas.
 19. The method of claim 18, comprising: receivingan indication of an inadequate fuel quality at a fuel loading location;and restricting fuel loading, based at least in part upon the indicationof the inadequate fuel quality at the fuel loading location.
 20. Themethod of claim 18, comprising: receiving an indication of inadequatefuel quality after a centrifuge treatment; and modifying fuel flow to adirty fuel storage tank, to an additional conditioning system, or bothbased upon the indication of inadequate fuel quality after thecentrifuge treatment.